Division Director – Human-Machine Systems; IHMS

Division Director – Intelligent Human-Machine Systems (IHMS)
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Apply locations:
University of Maryland College Parktime type:
Full time posted on:
Posted Yesterday job requisition :
JR104050#
** Job Description Summary
** Do you want to work at the frontier of national security challenges, at the intersection of artificial intelligence, human performance, and autonomy?
Organization's Summary Statement:
The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming.

Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation’s security, and are supported by a culture that values integrity, collaboration, and professional growth.

Job Description

Summary:

The Applied Research Laboratory for Intelligence and Security (ARLIS) at the University of Maryland invites applications for a Division Director to lead our Intelligent Human-Machine Systems (IHMS) Division. This is a rare opportunity to shape the future of human-machine collaboration in mission-critical environments while leading a world-class, interdisciplinary research organization.
The IHMS Division sits at the heart of this mission, developing technologies and methodologies that enhance decision-making, optimize human performance, and enable effective teaming between humans and intelligent systems in complex, high-stakes environments. IHMS researches AI, autonomy, and augmentation to improve performance for a range of intelligence and security missions to provide engagement advantage for national security.
The Division Director will provide strategic, operational, and technical leadership for a growing portfolio of research programs, partnerships, and team of over 25 talented researchers.

Key Responsibilities:

Leadership & Organizational Management:  
-Provide overall leadership and vision for the IHMS Division, including strategic planning, growth, and execution of research programs.
-Lead and mentor a multidisciplinary team of researchers, engineers, and developers across AI, human systems, and social sciences as applied to intelligence and security missions.
-Manage a portfolio of government-sponsored R&D programs, ensuring delivery of high-quality technical outcomes on schedule and within budget.
-Build and sustain relationships with key government sponsors, including Department of War (DoW) and Intelligence Community (IC) stakeholders.
-Drive business development activities, including identifying new opportunities, shaping proposals, and expanding ARLIS’s impact.
-Oversee hiring, workforce development, and organizational culture within the division.
-Ensure compliance with security, contracting, and operational requirements associated with classified and sensitive programs.
Technical & Strategic Leadership:
-Guide the division’s technical direction across core areas mission areas of:
-Command, Control, Intelligence, Surveillance, and Reconnaissance (C2

ISR)    
-Human Performance and Readiness Augmentation (HPRA)    
-Autonomy   
-Provide thought leadership in emerging areas such as:
-Human-machine teaming and collaboration    
-AI-enabled mission systems and autonomy    
-Sociotechnical systems and human-AI trust    
-Integration of AI into operational workflows and decision environments    
-Human performance, training, and readiness   
-Serve as a Principal Investigator or co-Principal Investigator on high-impact, externally…